Server Name
URL
GPS [1]
http://973-proteinweb.ustc.edu.cn/gps/gps_web/
DisPhos
http://core.ist.temple.edu/pred/pred.html
ScanSite
http://scansite.mit.edu/
KinasePhos [2]
http://kinasephos.mbc.nctu.edu.tw/
NetPhos [3]
http://www.cbs.dtu.dk/services/NetPhos/
NetPhosK
http://www.cbs.dtu.dk/services/NetPhosK/
PPSP [4]
http://bioinformatics.lcd-ustc.org/PPSP/
PredPhospho [5]
http://pred.ngri.re.kr/PredPhospho.htm

Reference

1.
Zhou, F.F., et al., GPS: a novel group-based phosphorylation predicting and scoring method. Biochem Biophys Res Commun, 2004. 325 (4): p. 1443-8.
2.
Huang, H.D., et al., KinasePhos: a web tool for identifying protein kinase-specific phosphorylation sites. Nucleic Acids Res, 2005. 33 (Web Server issue): p. W226-9.
3.
Blom, N., et al., Prediction of post-translational glycosylation and phosphorylation of proteins from the amino acid sequence. Proteomics, 2004. 4 (6): p. 1633-49.
4.
Xue, Y., et al., PPSP: prediction of PK-specific phosphorylation site with Bayesian decision theory. BMC Bioinformatics, 2006. 7 : p. 163
5.

Kim, J.H., et al., Prediction of phosphorylation sites using SVMs. Bioinformatics, 2004. 20 (17): p. 3179-84.

6.
Liang HK, Huang CM, Ko MT, Hwang JK. The Amino Acid-Coupling Patterns in Thermophilic Proteins. Proteins: Structure, Function and Bioinformatics, 2005. 59: p. 58-63.





Bid Lab, Institute of Bioinformatics, National Chiao Tung University , Taiwan.
Contact us:bryan@mail.nctu.edu.tw with questions or comments.
Websites:http://KinasePhos2.mbc.nctu.edu.tw/